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research units participated by companies and research organisations: 1 point per month worked, up to a maximum of 20 points. Experience in previous positions related to the object of the contract: 1 point
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processes and – in light of the continent’s specific contemporary challenges – to the multifaceted aspects of peace and security in Africa. The general objectives of the PhD programme are to produce scholars
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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nano-scale objects Designing and building a coherent low-energy electron microscope Sample preparation and recording holograms Numerical reconstruction of the sample structure Presenting the results
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superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will do at TU Delft. As a PhD student in our teams, you will investigate how
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of such high-performance fiber laser platforms requires advances in the development of high-reliability fiber components and optimized doped fibers. The first objective of this PhD project is to explore
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at the “small” scale of atoms and molecules. Imagine extending effects like quantum superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will
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partners. Our research group is housed within the state-of-the-art £117M Dalton building facilities at Manchester Met. Project aims and objectives The primary objective of the study is to study the effects
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-term reliability. While various contact engineering strategies have been explored, further innovation is needed to enable the widespread adoption of OTFTs in commercial applications. PhD Objectives
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable